Andrew Grogan-Kaylor

Sandra K. Danziger Collegiate Professor of Social Work

About Me

My interests are in developing more knowledge to reduce violence against children and Adverse Childhood Experiences (ACES), with the aim of improving child and family wellbeing. In this research I try to understand the family and community origins of aggression, antisocial behavior, anxiety and depression. My current research focuses on parenting and child development in international context. I try to understand these issues within the context of current conversations about children’s rights.

I teach courses mostly in the area of statistics, quantitative methods and data visualization.

• A little bit about my background
• My CV

“Blog-ish” Posts

• posts

Selected Courses

• Data Visualization

• Multilevel and Longitudinal Modeling

• Categorical Data Analysis

Research on Parenting and Child Development

Multiple Indicator Cluster Surveys (MICS) (UNICEF Data)

• Patterns of Caregiver Aggressive & Nonaggressive Discipline Toward Young Children in Low- and Middle-Income Countries: A Latent Class Approach
  • Article
  • ArcGIS Storymap
• “Multilevel ecological analysis of the predictors of spanking across 65 countries”
• “Global Perspectives on Positive and Negative Parenting: A Bayesian Multilevel Analysis”
  • Abstract
  • Article
• “Spanking and young children’s socioemotional development in low- and middle-income countries”
  • Open Access
  • Data Visualization
  • Child Trends News Service has released a well done video summarizing this research.

Figure 1: Countries in MICS Data

Adverse Childhood Experiences (ACES)

• “Adverse childhood experiences and spanking have similar associations with early behavior problems”

• “Unpacking the impact of adverse childhood experiences on adult mental health”

• “Spanking and adult mental health impairment: The case for the designation of spanking as an adverse childhood experience”

COVID-19

• “Anxiety and Depression During COVID-19: Are Adults in Households with Children Faring Worse?”
  • News Release

Colombia

• “Physical Punishment as a Predictor of Early Cognitive Development: Evidence From Econometric Approaches”
• “Civil conflict, domestic violence, and poverty as predictors of corporal punishment in Colombia”

Meta-Analysis of Research on Corporal Punishment

• Meta-Analysis of Research on Corporal Punishment [PubMed Full Text]

Corporal Punishment Bans

• Data Visualization of Country Level Bans on Corporal Punishment

Figure 2: Country Level Bans on Corporal Punishment

Earlier Research on Corporal Punishment

• Earlier Research On Corporal Punishment

Selected Collaborations

• Work with Performance Measurement Initiative at William Davidson Institute

Stata Materials

• All Stata Materials
• Two Page Stata:
  • HTML
  • PDF
  • epub
• “Michigan Graph Scheme” for Stata

Figure 3: Michigan Color Scheme For Stata Graphs

• Data Visualization With Stata
  • HTML
  • HTML Slides
  • PDF
• Stata Data Visualization Basics
  • HTML
  • PDF

R Materials

• Introduction to R:
  • HTML Web Book
  • PDF
  • epub
• Two Page R:
  • PDF
    
• Introduction to ggplot2:
  • HTML Web Book
  • PDF
  • epub
• Two Page ggplot2:
  • PDF
• What Geometry Do I Use?
• ggplot Flipbook
• “Advanced” ggplot
• Comparing Program Outcomes with ggplot2
  • HTML
  • PDF
• Colors in R
  • Colors in R
  • Viridis Colors
  • University of Michigan colors for R Graphs [web page] [R package]

Figure 4: Michigan Color Scheme For R Graphs

• Multi-Page dplyr:
  • PDF
  • HTML
• Themes for the Xaringan Slide Show System
• Working With Data From the World Bank Indicators
  • HTML

Bayesian Statistics

• Thinking Through Bayesian Ideas
• Notes on Accepting the Null (\(H_0\)) Hypothesis
• Bayesian Longitudinal MLM With the Gutten Tree Data

Figure 5: Thinking Through Bayesian Ideas

Statistical Tutorials and Visualizations

• What Is Data?
• Causality
• Basics of Quantitative Data Analysis
• t-Test
• Correlation
  • The Basics
  • Thinking about Correlations
• Regression
  • Tutorial
  • Demo
• Interactions
• Logistic Regression
• Cohen’s d Calculator

Data Visualization

• How To Choose A Chart
  • How to Choose a Chart: A Visual Guide.
  • How to Choose a Chart: An Intuitive Guide
  • Extended Version
• Should Everything Be A Bar Graph?
• Data Driven Report Demo
• Variables and Visualization
• Slides for a Lecture on Data Visualization for Political Social Work

Figure 6: How To Choose A Chart

Telling Stories With Data

• Visualizing Disparities in a Continuous Risk Factor [PDF]
• Comparing Program Outcomes With ggplot [PDF]
• Graphing Change Over Time [PDF]

Contact

Andrew Grogan-Kaylor

• Web: https://agrogan1.github.io/
• Email: agrogan@umich.edu
• Deep Blue: https://deepblue.lib.umich.edu/browse?type=author&value=Grogan-Kaylor%2C+Andrew
• GitHub: https://github.com/agrogan1
• ResearchGate: https://www.researchgate.net/profile/Andrew_Grogan-Kaylor
• Google Scholar: https://scholar.google.com/citations?user=iLvsGzgAAAAJ&hl=en
• ORCID: https://orcid.org/0000-0003-0065-9991